Example 9 When the ML component has wrong output, we can get from the inner-ML level analysis that this may be related to the setting of the hyperparameter. Explainable AI (XAI) methods may help users to, e.g., locate which layer of neurons contribute the most to the wrong ML behaviours [1]} and detect backdoors [2]}.

